Peter Richtárik
Peter Richtárik publishes mostly in Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Privacy-Preserving Technologies in Data.
- World rank
- #367,499 of 1,633,909 ranked researchers
- Rank in Saudi Arabia
- #514 of 3,359
- Works
- 125
- Citations
- 569
- Citations per work
- 4.6
What does Peter Richtárik research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence45% of their works
- 2Computational Mechanics18% of their works
- 3Computer Networks and Communications6% of their works
- 4Computational Theory and Mathematics5% of their works
- 5Statistics and Probability5% of their works
- 6Management Science and Operations Research4% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Privacy-Preserving Technologies in Data
- Advanced Optimization Algorithms Research
- Advanced Bandit Algorithms Research
- Machine Learning and Algorithms
- Complexity and Algorithms in Graphs
- Markov Chains and Monte Carlo Methods
Which keywords describe Peter Richtárik's research?
The keywords of their largest research topics: Convex Optimization, Approximation Algorithms, Deep Learning, Random Projections, Stochastic Gradient Descent, Compressed Sensing, Sparse Representation and Machine Learning.
- Markov Chain
- Combinatorial Optimization
- Semi-Supervised Learning
- Semidefinite Programming
- Bayesian Optimization
- Federated Learning
- Machine Learning
- Compressed Sensing
- Random Projections
- Approximation Algorithms
- Convex Optimization
- Deep Learning
- Stochastic Gradient Descent
- Sparse Representation
- Differential Privacy
- Bandit Optimization
- Optimization Software
- Active Learning
- Bayesian Monte Carlo
- Complexity Theory
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Convex Optimization754 topics
- Approximation Algorithms433 topics
- Deep Learning412 topics
- Random Projections371 topic
- Stochastic Gradient Descent371 topic
- Compressed Sensing281 topic
- Sparse Representation281 topic
- Machine Learning192 topics
- Differential Privacy151 topic
- Federated Learning151 topic
- Bandit Optimization51 topic
- Bayesian Optimization51 topic
- Optimization Software51 topic
- Semidefinite Programming51 topic
- Active Learning41 topic
- Semi-Supervised Learning41 topic
- Bayesian Monte Carlo31 topic
- Combinatorial Optimization31 topic
- Complexity Theory31 topic
- Markov Chain31 topic
Where does Peter Richtárik work?
Peter Richtárik's main affiliation in the publication record is King Abdullah University of Science and Technology, Saudi Arabia.
How many publications and citations does Peter Richtárik have?
Science Explorer counts 125 works and 569 citations for Peter Richtárik, ranking #367,499 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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